MEDIUMCVSS v3.1 6.2Vulnerability

CVE-2026-115919

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to 1.22.0, RNNShapeInference_opset1_to_6() processes malformed RNN and LSTM nodes from opsets 1 through 6 and GRU nodes from opsets 3 through 6 without verifying that the first input has rank three. The function accesses dim(0) and dim(1) on an undersized protobuf shape, which can read outside the intended repeated field and terminate an application when onnx.shape_inference.infer_shapes() processes an untrusted model that can pass onnx.checker.check_model(). This issue is fixed in version 1.22.0.

Properties

Severity
MEDIUM
Nvd fetched at
2026-10-26T19:15:24.996242+00:00
Cvss score
6.2
Cvss severity
MEDIUM
Retrieved at
2026-10-26T19:17:44+00:00
Score
6.2
Last source
NVD
Cvss version
3.1
Cve id
CVE-2026-115919
Cvss vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
First seen by Signal
2026-10-26T19:10:44+00:00
Vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Published at
2026-10-26T18:17:39.607
Last modified
2026-10-26T18:34:17.050

Related Entities (1)

HAS_WEAKNESS (1)

→[Weakness]Out-of-bounds Read

Explore deeper with Ninja Signal's threat intelligence graph

CVE-2026-115919 (CVSS v3.1 6.2) — Ninja Signal Threat Intelligence | Ninja Signal